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Optimizing Photoacoustic Tomography: Lymphatic Drainage from the Brain in Pigmented Mice

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Book cover Bioengineering and Biomedical Signal and Image Processing (BIOMESIP 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12940))

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Abstract

We report the development and results of an efficient optoacoustic tomography protocol based on a multispectral photoacoustic imaging system, novel contrast agent, and novel wavelength optimization technique to image the dynamics of the lymphatic drainage from the brain in pigmented mice.

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References

  1. Mathieu, E., Gupta, N., Ahari, A., Zhou, X., Hanna, J., Yücel, Y.H.: Evidence for cerebrospinal fluid entry into the optic nerve via a glymphatic pathway. Invest. Ophthalmol. Vis. Sci. 58, 4784–4791 (2017)

    Article  Google Scholar 

  2. Neves, S.P.D., Delivanoglou, N., Mesquita, S.D.: CNS-Draining Meningeal Lymphatic Vasculature: Roles, Conundrums and Future Challenges. Frontiers in pharmacol. 12, 655052 (2021)

    Article  Google Scholar 

  3. Morey-Holton, E.R., Globus, R.K.: Hindlimb unloading rodent model: technical aspects. J. Appl. Physiol. 92, 1367–1377 (2002)

    Article  Google Scholar 

  4. Yücel, Y.H., et al.: Active lymphatic drainage from the eye measured by noninvasive photoacoustic imaging of near-infrared nanoparticles. Invest. Ophthalmol. Vis. Sci. 59(7), 2699–2707 (2018)

    Article  Google Scholar 

  5. Yoshiki, A., Moriwaki, K.: Mouse phenome research: implications of genetic background. ILAR J. 47, 94–102 (2006)

    Article  Google Scholar 

  6. Neuschmelting, V., Lockau, H., Ntziachristos, V., Grimm, J., Kircher, M.F.: Lymph node micrometastases and in-transit metastases from melanoma: in vivo detection with multispectral optoacoustic imaging in a mouse model. Radiology 280, 137–150 (2016)

    Article  Google Scholar 

  7. Cardinell, K., et al.: A novel photoacoustic-fluorescent contrast agent for quantitative imaging of lymphatic drainage. Photoacoustics 21, 100239 (2021)

    Article  Google Scholar 

  8. Xia, J., Junjie, Y., Wang, L.H.V.: Photoacoustic tomography: principles and advances. Electromagnetic Waves 147, 1–22 (2014)

    Article  Google Scholar 

  9. Tzoumas, S., Ntziachristos, V.: Spectral unmixing techniques for optoacoustic imaging of tissue pathophysiology. Philos. Trans. R. Soc. A: Math., Phys. Eng. Sci. 375(2107), 20170262 (2017)

    Article  Google Scholar 

  10. Nassif, I.A., Zhou, X., Yücel, Y.H., Toronov, V.: Wavelength optimization in the multispectral photoacoustic tomography of the lymphatic drainage in mice. Photoacoustics. 12, 75–81 (2018)

    Article  Google Scholar 

  11. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13, 600–612 (2004)

    Article  Google Scholar 

  12. Pawlowski, M.E., Dwight, J.G., Nguyen, T.-U., Tkaczyk, T.S.: High performance image mapping spectrometer (IMS) for snapshot hyperspectral imaging applications. Opt. Express 27, 1597–1612 (2019)

    Article  Google Scholar 

  13. Bryant, C.D.: The blessings and curses of C57BL/6 substrains in mouse genetic studies. Ann. N Y Acad. Sci. 1245, 31–33 (2011)

    Article  Google Scholar 

  14. Martin Paez, Y., Mudie, L.I., Subramanian, P.S.: Spaceflight Associated Neuro-Ocular Syndrome (SANS): A Systematic Review and Future Directions. Eye Brain. 12, 105–117 (2020)

    Article  Google Scholar 

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Acknowledgement

We acknowledge the support of the Canadian Space Agency [19HLSRM02] and the Henry Farrugia Research Fund.

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Correspondence to Vladislav Toronov .

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Mian, B., Toronov, V., Zhou, X., Yucel, Y.H. (2021). Optimizing Photoacoustic Tomography: Lymphatic Drainage from the Brain in Pigmented Mice. In: Rojas, I., Castillo-Secilla, D., Herrera, L.J., Pomares, H. (eds) Bioengineering and Biomedical Signal and Image Processing. BIOMESIP 2021. Lecture Notes in Computer Science(), vol 12940. Springer, Cham. https://doi.org/10.1007/978-3-030-88163-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-88163-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88162-7

  • Online ISBN: 978-3-030-88163-4

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